Analysis pipelines for calcium imaging data.


Journal

Current opinion in neurobiology
ISSN: 1873-6882
Titre abrégé: Curr Opin Neurobiol
Pays: England
ID NLM: 9111376

Informations de publication

Date de publication:
04 2019
Historique:
received: 05 06 2018
revised: 11 09 2018
accepted: 19 11 2018
pubmed: 12 12 2018
medline: 11 2 2020
entrez: 12 12 2018
Statut: ppublish

Résumé

Calcium imaging is a popular tool among neuroscientists because of its capability to monitor in vivo large neural populations across weeks with single neuron and single spike resolution. Before any downstream analysis, the data needs to be pre-processed to extract the location and activity of the neurons and processes in the observed field of view. The ever increasing size of calcium imaging datasets necessitates scalable analysis pipelines that are reproducible and fully automated. This review focuses on recent methods for addressing the pre-processing problems that arise in calcium imaging data analysis, and available software tools for high throughput analysis pipelines.

Identifiants

pubmed: 30529147
pii: S0959-4388(18)30094-1
doi: 10.1016/j.conb.2018.11.004
pii:
doi:

Substances chimiques

Calcium SY7Q814VUP

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

15-21

Informations de copyright

Copyright © 2018 The Author. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Eftychios A Pnevmatikakis (EA)

Center for Computational Mathematics, Flatiron Institute, New York, NY 10010, United States. Electronic address: epnevmatikakis@flatironinstitute.org.

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Classifications MeSH